ROBUST STABILITY OF UNCERTAIN HOPFIELD NEURAL NETWORKS WITH PROPORTIONAL DELAYS
DOI:
https://doi.org/10.18173/2354-1059.2024-0031Keywords:
Robust stability, homonorphic mapping, interval matricesAbstract
The problem of robust stability is investigated for a class of uncertain Hopfield-type neural networks with proportional delays. The existence and uniqueness of an equilibrium is first established using the homeomorphic mapping theorem. Then, by employing a modified Lyapunov–Krasovskii functional, a new criterion for the global asymptotic stability of an equilibrium point of the system is formulated.
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